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The Internationalization Dynamics of Character Based Education Pandemic Dian Cita Sari; Ari Setiawan; Yuki Shiozaki; Khairunnas Rajab; Abu Yasid; Fariza MD Sham; Abdul Halim bin Ali; Makmur Harun; Sulaiman Dorloh; Azim A. Yuldashev; Muntaha; Mohd Kasturi Nor Bin Abd Aziz; Syahril Siddik; Siti Seituni; Nurul Azizah; A. Muammar Alawi; Dewi Maharani; Hajar Nurma Wachidah; Noorilham bin Ismail; A Hamid; Ummi Rasyidah; Mai Zunianti; Khairul Anwar; Afib Rulyansah; Rachman Sidharta Arisandi; Ezi Apino; Dedek Andrian; Ilham Tri Maulana; Felestin Felestin; Pipit Sari Puspitorini
TAMANSISWA INTERNATIONAL JOURNAL IN EDUCATION AND SCIENCE Vol 3 No 1 (2021): October 2021
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/tijes.v3i1.11117

Abstract

The study aims to identify the manifestation of Character Based Education Pandemic in internationalization Dynamics. It also explore concept of character as a part of pandemic process throughout human life and investigate on how pandemic plays role in character. In order to meet the purpose of the research, the qualitative approached, as it is in line with this particular study which is descriptive in nature. In accordance with many of the previous theories regarding the character based education in pandemic, it is found that the application of Character Based Education Pandemic of internationalization dynamics to be a better character. Improvement and successful program indirectly derived from manifestation of the characteristics of Character Based Education Pandemic namely faith in oneself, the aspiration towards excellence, the tenacity to challenge themselves, the engagement of support from others, and the continuous deliberate practice. Through the act of character based education, internationalization dynamics will evolve toward the betterment and so will the organization.
Factors Influencing the Success of Students’ Learning through Online Learning/Distance Education : A Bibliometric Analysis of Scopus Database Agus Santoso; Heri Retnawati; Munaya Nikma Rosyada; Ezi Apino; Ibnu Rafi; Kartianom Kartianom; Aigul Dauletkulova
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 10, No 1 (2024): March
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i1.10856

Abstract

This study aims to examine the co-occurrence of several topics linked to factors that influence student learning success and explore the motor themes related to factors that influence student learning success. This study used the literature review method with data analysis using R Studio and VOSViewer software. Data analyzed were exported from the Scopus website from 2013 to 2023 of 383 documents. The research data analysis techniques used network mapping analysis of VOSviewer results (network visualization) and content analysis within the keywords and studies. The findings of this study presented the keywords (most frequent words, trending topics), co-occurrence network (thematic map and thematic evolution), and discussion of topics related to factors that influence student learning success. The basic themes identified were higher education and Covid-19. Meanwhile, gender and self-efficacy are motor themes that could be researched further as those can influence student learning performance in online learning. The findings of the bibliometric analysis were intended to reveal unique insights into the factors that determine student learning performance in distant learning and contribute to previously unexplored issues.
The Internationalization Dynamics of Character Based Education Pandemic Dian Cita Sari; Ari Setiawan; Yuki Shiozaki; Khairunnas Rajab; Abu Yasid; Fariza MD Sham; Abdul Halim bin Ali; Makmur Harun; Sulaiman Dorloh; Azim A. Yuldashev; Muntaha; Mohd Kasturi Nor Bin Abd Aziz; Syahril Siddik; Siti Seituni; Nurul Azizah; A. Muammar Alawi; Dewi Maharani; Hajar Nurma Wachidah; Noorilham bin Ismail; A Hamid; Ummi Rasyidah; Mai Zunianti; Khairul Anwar; Afib Rulyansah; Rachman Sidharta Arisandi; Ezi Apino; Dedek Andrian; Ilham Tri Maulana; Felestin Felestin; Pipit Sari Puspitorini
TAMANSISWA INTERNATIONAL JOURNAL IN EDUCATION AND SCIENCE Vol 3 No 1 (2021): October 2021
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/tijes.v3i1.11117

Abstract

The study aims to identify the manifestation of Character Based Education Pandemic in internationalization Dynamics. It also explore concept of character as a part of pandemic process throughout human life and investigate on how pandemic plays role in character. In order to meet the purpose of the research, the qualitative approached, as it is in line with this particular study which is descriptive in nature. In accordance with many of the previous theories regarding the character based education in pandemic, it is found that the application of Character Based Education Pandemic of internationalization dynamics to be a better character. Improvement and successful program indirectly derived from manifestation of the characteristics of Character Based Education Pandemic namely faith in oneself, the aspiration towards excellence, the tenacity to challenge themselves, the engagement of support from others, and the continuous deliberate practice. Through the act of character based education, internationalization dynamics will evolve toward the betterment and so will the organization.
Deep-Rasch as an Alternative to Rasch Modeling under Assumption Violations and Small Sample Sizes Agus Santoso; Farit Mochamad Afendi; Timbul Pardede; Heri Retnawati; Ibnu Rafi; Ezi Apino; Munaya Nikma Rosyada
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.36276

Abstract

In certain situations, it may be challenging to fully exploit the advantages of modern test theory, including Rasch modeling and item response theory (IRT), when applied to real data. Although Rasch modeling tends to be more robust than IRT for small sample sizes, it still requires that the assumptions of unidimensionality and local independence be satisfied. In practice, these assumptions are often violated, which can lead to less accurate analyses and reduced validity of the results. Deep-Rasch, which integrates deep learning with Rasch modeling, has been proposed as an alternative measurement framework to overcome these limitations. This study examines the potential of Deep-Rasch as an alternative to Rasch modeling using student response data from 17 final semester examinations at Universitas Terbuka (UT), with sample sizes ranging from 33 to 11,504 students. Most examinations consisted of 30 multiple-choice items. The analyses showed that several datasets violated one or both assumptions of Rasch modeling. Nevertheless, Deep-Rasch performed comparably to conventional Rasch modeling in estimating item difficulty and student ability parameters, as well as in predicting student responses. Remarkably, for the smallest sample size (\emph{n} = 33), Deep-Rasch exhibited slightly better performance than Rasch modeling.